This paper discusses sensor fusion as a means to compute virtual sensor signals for certain vehicle attitude quantities, in particular vehicle yaw rate. As the name indicates, sensor fusion is about fusing information from several different physical sensors. The goal is to compute new virtual sensor signals using information from the existing, physical sensors. The virtual sensors can in principle be of two different types as high-precision and self-calibrating sensors, i.e. improved versions of the physical sensors. The goal is either to achieve higher performance using existing sensors or to reduce system cost by replacing expensive sensors by cheaper ones and using sensor fusion to restore signal quality, and second as soft sensors, i.e. sensors that have no direct physical counterpart among the sensors used but can be created using intelligent software solutions. Sensor fusion is used in, for example, navigation, target tracking, aircraft attitude estimation and various other military applications to achieve exactly these goals. Our primary aim in our research and development efforts is to develop unique sensor fusion based systems for vehicles - in particular for vehicle dynamics applications - and the challenge is to utilise the potential to both improve performance and reduce the system cost. It is shown how sensor fusion can be used to increase the performance and availability of standard sensors commonly available in a modern car. Test results from tests performed with a real vehicle are presented.
Virtual sensors for vehicle dynamics applications
Virtuelle Sensoren zur Überwachung der Fahrzeugdynamik
2001
11 Seiten, 7 Bilder, 3 Quellen
Conference paper
English
Virtual Sensors for Vehicle Dynamics Applications
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